Abstract
Traffic signs are a basic piece of our everyday lives. Traffic sign acknowledgment is the process of consequently recognizing which of the accompanying class the sign belongs to. The prior computer vision procedures required lots of difficult work in data processing. Now, profound learning methods have come to the rescue and to assemble a traffic acknowledgment framework for autonomous vehicles. This article gives a brief description about the traffic sign recognition to classify the traffic signs in order to properly parse and understand the roadway and also to detect the objects around it. In addition to this, a system is proposed to count the vehicles in a specific region.
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